Update mainpaperspacev2.py

mainpaperspacev2.py

@@ -61,34 +61,37 @@ def Deps(force_reinstall):
 
 def downloadmodel_hfv2(Path_to_HuggingFace):
   import wget
-  os.chdir('/models')
-  if os.path.exists('stable-diffusion-custom'):
-    call("rm -r stable-diffusion-custom", shell=True)
-    
-  if os.path.exists('/content/gdrive/MyDrive/Fast-Dreambooth/token.txt'):
-    with open("/content/gdrive/MyDrive/Fast-Dreambooth/token.txt") as f:
+  
+  if os.path.exists('/models/stable-diffusion-custom'):
+    call("rm -r /models/stable-diffusion-custom", shell=True)
+  clear_output()
+  
+  if os.path.exists('/notebooks/Fast-Dreambooth/token.txt'):
+    with open("/notebooks/Fast-Dreambooth/token.txt") as f:
        token = f.read()
     authe=f'https://USER:{token}@'
   else:
-    authe="https://"  
+    authe="https://"
 
-  call("mkdir stable-diffusion-custom", shell=True)
-  os.chdir("stable-diffusion-custom")
+  clear_output()
+  call("mkdir /models/stable-diffusion-custom", shell=True)
+  os.chdir("/models/stable-diffusion-custom")
   call("git init", shell=True)
   call("git lfs install --system --skip-repo", shell=True)
   call('git remote add -f origin '+authe+'huggingface.co/'+Path_to_HuggingFace, shell=True)
   call("git config core.sparsecheckout true", shell=True)
   call('echo -e "\nscheduler\ntext_encoder\ntokenizer\nunet\nvae\nfeature_extractor\nmodel_index.json\n!*.safetensors" > .git/info/sparse-checkout', shell=True)
   call("git pull origin main", shell=True)
-  if os.path.exists('stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
-    call("rm -r stable-diffusion-custom/.git", shell=True)
+  if os.path.exists('unet/diffusion_pytorch_model.bin'):
+    call("rm -r .git", shell=True)
+    os.chdir('/notebooks')
     clear_output()
     done()
-  else:
-    while not os.path.exists('stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
-          print('Check the link you provided')
-          time.sleep(5)
-  os.chdir('/notebooks')
+  while not os.path.exists('/models/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
+        print('Check the link you provided')
+        os.chdir('/notebooks')
+        time.sleep(5)
+  
 
 
          
@@ -107,18 +110,20 @@ def downloadmodel_pthv2(CKPT_Path, Custom_Model_Version):
       call('python convertodiff.py '+CKPT_Path+' stable-diffusion-custom --v2 --reference_model stabilityai/stable-diffusion-2-1', shell=True)
     call('rm convertodiff.py', shell=True)
     if os.path.exists('stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
+      os.chdir('/notebooks')
       clear_output()
       done()
-    else:
-      call('rm -r stable-diffusion-custom', shell=True)
-      while not os.path.exists('stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
-        print('Conversion error')
-        time.sleep(5)
+    while not os.path.exists('stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
+      print('Conversion error')
+      os.chdir('/notebooks')
+      time.sleep(5)
+      
   else:
     while not os.path.exists(str(CKPT_Path)):
        print('Wrong path, use the colab file explorer to copy the path')
+       os.chdir('/notebooks')
        time.sleep(5)
-  os.chdir('/notebooks')
+  
       
        
        
@@ -133,26 +138,29 @@ def downloadmodel_lnkv2(CKPT_Link, Custom_Model_Version):
         if Custom_Model_Version=='512':
           wget.download('https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/Dreambooth/convertodiffv2.py')
           clear_output()
-          call('python convertodiff.py '+CKPT_Path+' stable-diffusion-custom --v2 --reference_model stabilityai/stable-diffusion-2-1-base', shell=True)
+          call('python convertodiff.py model.ckpt stable-diffusion-custom --v2 --reference_model stabilityai/stable-diffusion-2-1-base', shell=True)
         elif Custom_Model_Version=='768':
           wget.download('https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/Dreambooth/convertodiffv2.py')
           clear_output()
-          call('python convertodiff.py '+CKPT_Path+' stable-diffusion-custom --v2 --reference_model stabilityai/stable-diffusion-2-1', shell=True)
+          call('python convertodiff.py model.ckpt stable-diffusion-custom --v2 --reference_model stabilityai/stable-diffusion-2-1', shell=True)
         call('rm convertodiff.py', shell=True)
         call('rm model.ckpt', shell=True)
         if os.path.exists('stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
+          os.chdir('/notebooks')
           clear_output()
           done()
-        else:
-          call('rm -r stable-diffusion-custom', shell=True)
-          while not os.path.exists('stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
-            print('Conversion error')
-            time.sleep(5)
-      else:
+
+        while not os.path.exists('stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
+          print('Conversion error')
+          os.chdir('/notebooks')
+          time.sleep(5)
+
         while os.path.getsize('model.ckpt') < 1810671599:
            print('Wrong link, check that the link is valid')
+           os.chdir('/notebooks')
            time.sleep(5)
-      os.chdir('/notebooks')
+
+      
            
 
 def dlv2(Path_to_HuggingFace, CKPT_Path, CKPT_Link, Model_Version, Custom_Model_Version):
@@ -171,7 +179,7 @@ def dlv2(Path_to_HuggingFace, CKPT_Path, CKPT_Link, Model_Version, Custom_Model_
         MODEL_NAMEv2="dataset"
         print('Using the original V2-512 model')
       elif Model_Version=="768":
-        MODEL_NAMEv2="dataset"
+        MODEL_NAMEv2="/datasets/stable-diffusion-v2-1/stable-diffusion-2-1"
         print('Using the original V2-768 model')
       else:
         MODEL_NAMEv2=""